Spark-Powered Data Engineer: ETL & PySpark Pipelines
Summary
Data Engineer designing, developing, and optimizing scalable ETL pipelines and data warehouses using Python, PySpark, SQL, and cloud data platforms for large-scale datasets in Singapore.
Unison Consulting is seeking a skilled Data Engineer to design, develop, and optimize scalable data pipelines and ETL processes in a Singapore-based role. The candidate will work with Python, PySpark, SQL, and cloud data platforms to handle large-scale datasets and ensure data quality and performance.
Responsibilities include building data models and warehouses, optimizing Spark jobs, and collaborating with analysts and business teams. Strong scripting, CI/CD, and cloud experience are preferred.